Vincario MCP Server
An MCP (Model Context Protocol) server that exposes the Vincario API to AI agents and LLM clients. Enables AI assistants to decode VINs, check stolen vehicle databases, and retrieve market valuations through natural language.
Tools
| Tool | Description | |---|---| | vin_decode | Decode a VIN and return detailed vehicle information | | vin_decode_info | List available fields for a given VIN (free endpoint) | | stolen_check | Check if a VIN appears in stolen vehicle databases | | vehicle_market_value | Get market valuation for a vehicle (supports odometer input) |
Requirements
- Vincario API key — passed via
X-API-KeyHTTP header - Docker (recommended), or Python 3.11+ with uv
Running with Docker
docker build -t vincario-mcp .
docker run -p 8080:8080 vincario-mcpThe server starts on http://localhost:8080.
Running locally
pip install uv
uv sync
uv run main.pyConnecting to an MCP client
Pass your Vincario API key as an HTTP header with each request:
X-API-Key: your_api_key_hereClaude Code
Add to your MCP config (.mcp.json or claude_desktop_config.json):
{
"mcpServers": {
"vincario": {
"type": "http",
"url": "http://localhost:8080",
"headers": {
"X-API-Key": "your_api_key_here"
}
}
}
}Hosted endpoint
If connecting to the hosted server at https://mcp.vincario.com/mcp, replace the URL accordingly.
Example usage
Once connected, you can ask your AI assistant:
- "Decode VIN WBAFR9C54BC780006"
- "Is this vehicle stolen? VIN: WBAFR9C54BC780006"
- "What is the market value of VIN WBAFR9C54BC780006 with 85000 km?"
Transport
The server uses streamable HTTP transport (stateless_http=True), which means no persistent session is required. Each request is independent, making it straightforward to deploy behind a reverse proxy or load balancer.
For HTTPS deployment, place a reverse proxy (nginx, Caddy, Cloudflare) in front of the server — the application itself runs on plain HTTP port 8080.
License
See Vincario API Terms of Service for usage terms.
